Trial reportBMC medical research methodology2021
Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study.
Trial report in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05318612 (), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
(Cost)Effectiveness of MR-guided LITT Therapy in Patients With Primary Irresectable Glioblastoma: a Prospective Multicenter Randomized Controlled Trial (EMITT)
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review.BMC medical research methodology · 2024Pooled it
- Implications of Missing Data Mechanisms in Randomized Controlled Trials: Current Practices and Suggestions Utilizing the ACTIVE Study.Journal of the American Geriatrics Society · 2026Article
- Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset.BMC medical research methodology · 2025Article
- Relationship between reasons for intermittent missing patient-reported outcomes data and missing data mechanisms.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Patterns in health care use and intensity for diagnosed and undiagnosed cognitive impairment in the older australian community: Implications for primary care management.SSM - population health · 2024Article
- Sociodemographic disparities and potential biases in persistent pain estimates: Findings from 5 waves of the Irish Longitudinal Study on Ageing (TILDA).European journal of pain (London, England) · 2024Observational
- Frailty prevalence in 42 European countries by age and gender: development of the SHARE Frailty Atlas for Europe.GeroScience · 2024Article
- Prevalence of loneliness and associations with health behaviours and body mass index in 5835 people living with and beyond cancer: a cross-sectional study.BMC public health · 2024Article
- Perceiving a need for dietary change in adults living with and beyond cancer: A cross-sectional study.Cancer medicine · 2024Article
- The Joint Awareness Score: A Shortened, Simplified, Improved Alternative to the Forgotten Joint Score.Arthroplasty today · 2023Article
- A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized Trials.American journal of epidemiology · 2023Article
- Data quality considerations for evaluating COVID-19 treatments using real world data: learnings from the National COVID Cohort Collaborative (N3C).BMC medical research methodology · 2023Article
- Article
- Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials.BMC medical research methodology · 2022Article
- Sequential Multiple Imputation for Real-World Health-Related Quality of Life Missing Data after Bariatric Surgery.International journal of environmental research and public health · 2022Article
- Prospective associations between sedentary behavior and physical activity in adolescence and sleep duration in adulthood.Preventive medicine · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundMissing data are common in end-of-life care studies, but there is still relatively little exploration of which is the best method to deal with them, and, in particular, if the missing at random (MAR) assumption is valid or missing not at random (MNAR) mechanisms should be assumed. In this paper we investigated this issue through a sensitivity analysis within the ACTION study, a multicenter cluster randomized controlled trial testing advance care planning in patients with advanced lung or colorectal cancer.
methodsMultiple imputation procedures under MAR and MNAR assumptions were implemented. Possible violation of the MAR assumption was addressed with reference to variables measuring quality of life and symptoms. The MNAR model assumed that patients with worse health were more likely to have missing questionnaires, making a distinction between single missing items, which were assumed to satisfy the MAR assumption, and missing values due to completely missing questionnaire for which a MNAR mechanism was hypothesized. We explored the sensitivity to possible departures from MAR on gender differences between key indicators and on simple correlations.
resultsUp to 39% of follow-up data were missing. Results under MAR reflected that missingness was related to poorer health status. Correlations between variables, although very small, changed according to the imputation method, as well as the differences in scores by gender, indicating a certain sensitivity of the results to the violation of the MAR assumption.
conclusionsThe findings confirmed the importance of undertaking this kind of analysis in end-of-life care studies.
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